Mobility Modeling Flashcards

1
Q

What is connected mobility?

A

Mobility + connectivity = time-variant topology

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2
Q

Differentiat Analytic and Realistic mobility models

A

Analytic: - allow performance evaluation

  • parameter sweep for models in simulation
  • models entities or entire systems

Realistic: - frequently used in simulations

  • can be used in analytic studies
  • agend-based simulations
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3
Q

Describe the role of limitations in human spartial activity

A

Human activity is mostly defined by limitations not by independent decisions.

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4
Q

Distinguish 3 travel behavior levels

A
  • Strategic: choice of activities & order (going to work, shopping or taking a walk)
  • Tactical: implementation of strategic decisions (means of transport)
  • Operational: speed of walking, obstacle avoidance
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5
Q

Distinguish 3 different constraints on mobility

A
  • Capabilities: biological or physical factors
  • Coupling: need to be in a particular place at a given time
  • Authority: control of access in compliance with rules
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6
Q

What levels of abstraction do we know in mobility modeling?

A
  • Microscopic: capture individual behavior and interatcion; high detail level
  • Macroscopic: Behavior of the entire system in aggregated form; individual cannot be distingushed from rest
  • Mesoscopic: Group individuals with similar properties; compromise between analytical tractability and comp efficiency
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7
Q

What 6 features are used in simulating mobility?

A
  1. Spartial constrains: free, bounded, forbidden region, graph
  2. Pathfinding: biased random trip, on-the-fly, graph traversal
  3. Motion: random speed, collision avoidance
  4. Pause time: contant, random, regional
  5. Target selection: random trip, location bias, checkpoints, social network
  6. Group dynamics: reference target, internode forces
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8
Q

Describe how we can implement a location bias into a mobility model

A

Using the randowm waypoint model.
the bias can be introduced via 3 types
- static (time-invariant): city centers
- dynamic (time variant): events taking place
- social interest: probaility of goint somewhere depends how many friends are there

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9
Q

What are communities in random waypoint modeling and how can we implement them?

A
  1. split simulation area in a grid of comm.
  2. Each node has a home comm
  3. Assign different probabilities for picking next waypoint from home, gathering places or foreign comms
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10
Q

What are flaws of random waypoint?

A
  • mean speed decays over time. Slow nodes take longer to reach dest; pause time adds up
  • uneven node density distribution
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11
Q

Name 2 approaches to implement spartial constraints in a mobility model

A
  1. forbidden regions: obstacles or restricted areas

2. Graph constrained: movement only within edges and vertices

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12
Q

What is the reference point group mobility model?

A

One reference point per node. Reference points move into a common direction. Nodes follow their respective next point plus some oscillation around it.
Can be used to easily implement pursue (verfolgen) or nomadic community model

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13
Q

Describe human mobility

A
  1. regular re-apprearance at set of preferred locations
  2. Probability of returning to specific location is correlated with visitation frequency
  3. Power law jump size distribution

Spartial, temporal and social classes of characteristics.

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14
Q

How does the Work Day Movement Model work?

A

Staying home -> Working at office -> Activity w/ friends
transportation between activities

Works by having submodels for each activity

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15
Q

What are existing human mobility modeling approaches based on?

A
  • Location preference
  • Social relationships
  • Agenda modeling
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16
Q

Characterize vehicular mobility

A
  • high speeds, ranges of speed
  • strict geographic constraints
  • strict governing movements
  • humans as decision makers
17
Q

Describe three approaches to combine network and mobility simulations

A

Isolated: 2 independent simulators
Embedded: one simulator implements both
Federated: two simulators synchronize through comm

18
Q

Name some properties that might introduce diversity into a dataset

A
  • Type of mobility (vehicular, pedestrian, mixed…)
  • Tracking technology
  • Involved technology (GPS, wifi ..)
  • Scale: #participants
  • User-generated maps and artifacts vs data from system
  • Measuring relative mobility (proximity of users) vs absolute mobility
19
Q

What are pervasive games?

A
  • AR, location-aware mobile apps
  • Provide insights into individuals mobility and can even alter it
  • Insights can be used for urban planning, public healthcare improvement

Observed changes:

  • travelled longer distances
  • visited places that are usually not of interest